How to Use the WordPress Post Drafter MCP in Cursor

Q: Can I use WordPress Post Drafter drafts within my Cursor project?

Absolutely. The output from createwordpressdraft is live data that you can inject directly into your current function or class definition for testing purposes.

Inject live draft data into your code base using Cursor's Agent mode with this MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect WordPress Post Drafter MCP to Cursor

Create your Vinkius account to connect WordPress Post Drafter to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup WordPress Post Drafter with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Drafting Content in Code Context

The `create_wordpress_draft` tool lets your agent write content drafts directly from within the editor. Instead of just generating text, the AI can now execute a function call that saves work to WordPress. This means you're writing code that *uses* live API responses—not stubs.

Project-Scope MCP Server Setup

To use this MCP Server, add it to your project root in `.cursor/mcp.json`. This keeps the configuration scoped exactly where you need it for your current development task. It makes sure that only code relevant to this specific repository can access the drafting tool.

Real-Time Data Injection

When the AI calls `create_wordpress_draft`, Cursor captures the live response data. You can then reference that content, title, or success message directly into the code you're writing. It eliminates the need to switch context and copy/paste results.

Setup guide

Set up WordPress Post Drafter MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the WordPress Post Drafter MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent WordPress Post Drafter transactions." If the MCP tools are loaded correctly, Cursor will call the WordPress Post Drafter tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "wordpress-post-drafter-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by WordPress. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect WordPress Post Drafter now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about WordPress Post Drafter MCP in Cursor

When your agent detects content ready for drafting, it calls `create_wordpress_draft`. This sends the title and body to WordPress as a Draft post. You handle the rest of the workflow in your code.

Absolutely. The output from `create_wordpress_draft` is live data that you can inject directly into your current function or class definition for testing purposes.

Yes, it takes both plain text and full HTML. Your agent just needs to format the payload correctly before calling `create_wordpress_draft`.

Since you define the server in a project-scope file, it works well. The agent can call the tool as part of an automated data pipeline that drafts content.

This MCP Server only touches standard WordPress post metadata: title, body content (HTML/plain text), and status (always Draft).

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python